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100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ types-click = "*" types-toml = "*" influxdb-client = {version = "*", optional = true} nbval = "*" +gradio = "^4.36.1" [tool.poetry.group.dev.dependencies] jupyterlab = "*" diff --git a/src/quantifiedme/ui/__main__.py b/src/quantifiedme/ui/__main__.py new file mode 100644 index 0000000..bcbfde6 --- /dev/null +++ b/src/quantifiedme/ui/__main__.py @@ -0,0 +1,5 @@ +from .main import main + + +if __name__ == "__main__": + main() diff --git a/src/quantifiedme/ui/main.py b/src/quantifiedme/ui/main.py new file mode 100644 index 0000000..7c3401d --- /dev/null +++ b/src/quantifiedme/ui/main.py @@ -0,0 +1,80 @@ +import gradio as gr +import numpy as np +import pandas as pd +from quantifiedme.derived.all_df import load_all_df + + +def load_all(fast): + df = load_all_df(fast) + print(df) + print(df.index) + return df + + +# Function to display data sources summary +def data_sources_summary(): + fast = gr.Checkbox(label="Fast") + output = gr.LinePlot( + x="x", + y="y", + overlay_point=True, + tooltip=["x", "y"], + x_lim=[0, 100], + y_lim=[0, 60], + width=350, + height=300, + ) + dataframe_el = gr.Dataframe() + btn = gr.Button(value="Load") + btn.click(load_all, [fast], dataframe_el) + # btn.click(load_all, [fast], output) + return "Summary of data sources goes here..." + + +def plot(v, a): + g = 9.81 + theta = a / 180 * 3.14 + tmax = ((2 * v) * np.sin(theta)) / g + timemat = tmax * np.linspace(0, 1, 40) + + x = (v * timemat) * np.cos(theta) + y = ((v * timemat) * np.sin(theta)) - ((0.5 * g) * (timemat**2)) + df = pd.DataFrame({"x": x, "y": y}) + return df + + +def main(): + with gr.Blocks() as app: + # Summary + with gr.Tab("Summary"): + gr.Markdown(data_sources_summary()) + + # Trajectory + with gr.Tab("Trajectory"): + gr.Markdown("Just an example of plot with inputs") + plot_trajectory() + + # Data overview + with gr.Tab("Data Overview"): + gr.Markdown("Data Overview goes here...") + + app.launch() + + +def plot_trajectory(): + with gr.Row(): + speed = gr.Slider(1, 30, 25, label="Speed") + angle = gr.Slider(0, 90, 45, label="Angle") + with gr.Tab("Plots"): + output = gr.LinePlot( + x="x", + y="y", + overlay_point=True, + tooltip=["x", "y"], + x_lim=[0, 100], + y_lim=[0, 60], + width=350, + height=300, + ) + btn = gr.Button(value="Run") + btn.click(plot, [speed, angle], output)